Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

What is Agentic AI vs GenAI?

Everyone knows ChatGPT, but Agentic AI is where the real work happens. In this Agentic AI vs GenAI breakdown, we explain why Agentic AI is the next major leap, and what it means for your business and career. Here’s the difference: Generative AI (GenAI): Creates content. You ask, it writes, summarizes, or creates. Agentic AI: Does work. It is built on three core components: a brain (reasons), memory (context), and tools (the key that lets agents touch real systems like APIs and databases).

Netskope One AI Guardrails and Netskope One AI Gateway Demo

This is a demo of Netskope One AI Guardrails and the Netskope One AI Gateway. Netskope One AI Guardrails provides real-time content moderation for every interaction, securing the enterprise against emerging AI-specific threats including prompt injection and jailbreak attempts, and unsafe use. Netskope One AI Gateway secures the API traffic fueling your AI-powered applications. By centralizing authentication, traffic management, and content inspection between private apps and LLMs, we ensure autonomous agentic data flows remain governed and secure.

The hidden risks of AI rule conversion in SIEM migrations

Uncover the hidden risks of AI-powered rule conversion during SIEM migrations and why clean inputs matter. Learn how to combine automation with human validation for secure migration success. Additional Resources: About Elastic Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale. Elastic’s solutions for search, observability, and security are built on the Elastic Search AI Platform — the development platform used by thousands of companies, including more than 50% of the Fortune 500.

Now Available: Cyberhaven's Free AI App Risk Checker

Most security teams are being asked to "enable AI" before they have any real sense of which tools are safe to use. That gap is costing them. Cyberhaven's research found that the majority of AI tools in active enterprise use today fall into high or critical risk categories, and more than 80% of enterprise data flowing into AI is going to those risky tools, not to platforms built with serious security in mind. To help security teams cut through the noise, we built the Cyberhaven AI App Risk Checker.

SOAR vs. AI SOC: The Category That Left SOAR Behind

If you’ve been in security operations for more than a few years, you’ve lived through the automation hype cycle at least twice. First, it was SIEM that was going to solve everything. Then SOAR was supposed to fix what SIEM couldn’t. Now, AI SOC platforms are delivering what SOAR always promised but never actually could.

What Frontier Models Can Actually Do in a SOC: Open-source Benchmark for Agentic SecOps Capabilities

Maxime Lamothe-Brassard, founder and CEO of LimaCharlie, sought answers on AI’s current capabilities in the SecOps space. Plenty of benchmarks exist to test AI's knowledge of cybersecurity, but none test whether a model actually does the work. There's a significant difference between an AI that can answer trivia questions about CVEs and one that can pick up an alert, investigate it, and produce an incident report.That gap matters more now than ever.